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arXiv · 2507.17764

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction

Xin Xie·Yu Guan·Zhuoxu Cui·Dong Liang·Qiegen Liu
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Abstract

By integrating the generative strengths of diffusion models with the representation capabilities of frequency-domain attention, DFAM effectively enhances reconstruction performance under low-SNR condi-tions. Experimental results demonstrate that DFAM consistently outperforms both conventional reconstruction algorithms and recent learning-based approaches. These findings highlight the potential of DFAM as a promising solution to advance low-field MRI reconstruction, particularly in resource-constrained or underdeveloped clinical settings.

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Xin Xie, Yu Guan, Zhuoxu Cui, Dong Liang, Qiegen Liu. 2025-07-09. Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction. https://arxiv.org/abs/2507.17764

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